Drowning in Documents: Consequences of Scaling Reranker Inference

18 November 2024

Papers citing "Drowning in Documents: Consequences of Scaling Reranker Inference"

8 / 8 papers shown

Title
AI5GTest: AI-Driven Specification-Aware Automated Testing and Validation of 5G O-RAN Components Abiodun Ganiyu Pranshav Gajjar Vijay K. Shah 43 0 0 11 Jun 2025
RankLLM: A Python Package for Reranking with LLMs Sahel Sharifymoghaddam Ronak Pradeep Andre Slavescu Ryan Nguyen Andrew Xu Zijian Chen Yilin Zhang Yidi Chen Jasper Xian Jimmy Lin KELM ALM LRM 35 1 0 25 May 2025
FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Xinyu Wang Jijun Chi Zhenghan Tai Tung Sum Thomas Kwok Muzhi Li ... Jerry Huang Jingrui Tian Fengran Mo Yufei Cui Ling Zhou 155 0 0 20 Apr 2025
FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents Nandan Thakur Jimmy J. Lin Sam Havens Michael Carbin Omar Khattab Andrew Drozdov 121 5 0 17 Apr 2025
ORANSight-2.0: Foundational LLMs for O-RAN Pranshav Gajjar Vijay K. Shah AI4TS LRM VLM 133 4 0 07 Mar 2025
QuOTE: Question-Oriented Text Embeddings Andrew Neeser Kaylen Latimer Aadyant Khatri Chris Latimer Naren Ramakrishnan RALM 96 0 0 16 Feb 2025
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Bradley Brown Jordan Juravsky Ryan Ehrlich Ronald Clark Quoc V. Le Christopher Ré Azalia Mirhoseini ALM LRM 279 331 0 03 Jan 2025
Billion-scale similarity search with GPUs Jeff Johnson Matthijs Douze Hervé Jégou 365 3,749 0 28 Feb 2017